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MEDIUM severity

Use of unclaimed s3 bucket in tests and examplesGHSA-rc39-g977-687w

MEDIUM

GHSA-rc39-g977-687w is a medium-severity (CVSS 5.3) CWE-344 vulnerability in org.deeplearning4j:platform-tests. The records list no fixed version yet; check the vendor advisory below and apply the mitigations in the meantime.

Also known asCVE-2022-36022
Published
Updated
Affected
2 pkgs
Patched
See advisory
Exploits
None indexed
Exploitation data as of Nov 5, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs38th percentile — riskier than 38% of all scored CVEsHighest risk
0.00%0.31%0.63%0.94%0.2%0.4%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

2 pkgs affected
☕org.deeplearning4j:platform-tests☕org.deeplearning4j:dl4j-examples

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects Maven packages — download data is not available via public APIs for these ecosystems.

Description

Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use some older NLP examples that reference an old S3 bucket. The problem has been patched. Users should upgrade to snapshots as Deeplearning4J plan to publish a release with the fix at a later date. As a workaround, download a word2vec google news vector from a new source using git lfs from here.

Affected Packages

2 total
EcosystemPackageVulnerable rangeFix
☕Mavenorg.deeplearning4j:platform-testsall versionsNo fix
☕Mavenorg.deeplearning4j:dl4j-examplesall versionsNo fix

Affected Products

1 product · 7 configurations
Application
deeplearning4jeclipse
< 1.0.0
1 version
1.0.0

Detection & mitigation playbook

Open-source dependency

  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for org.deeplearning4j:platform-tests, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Remediation status

    The records we use list no patched version of org.deeplearning4j:platform-tests for GHSA-rc39-g977-687w. Check the maintainer's advisory, and where your build allows, override or pin the dependency away from the vulnerable range.

  3. Mitigate without a patch

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

Frequently Asked Questions

### Impact People who use some older NLP examples that reference the old S3 bucket. ### Patches The problem has been patched. Upgrade to snapshots for now. A release will be published later to address this due to the vulnerability mostly being examples and 1 class in the actual code base. ### Workarounds Download a word2vec google news vector from a new source using git lfs
O3 Security · Impact-Aware SCA

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Use of unclaimed s3 bucket in tests and examples